Music-Induced Brain Functional Connectivity Using EEG Sensors: A Study on Indian Music

Geethanjali, B.; Adalarasu, K.; Mani, Mohan Prasath; Seshadri, N. P. Guhan

doi:10.1109/jsen.2018.2873402

Cited by 39 publications

(18 citation statements)

References 36 publications

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“…Specifically, there were significant differences in alpha power between the left and right frontal regions only in the negative valence group. This result supports the idea that alpha asymmetry in frontal regions is associated with emotions [17], [47]. Alpha activity plays a major role in relation to the emotional process [15].…”

Section: Discussionsupporting

confidence: 89%

“…In recent years, some studies have investigated frontal asymmetry, noting the relationships between regions using brain connectivity and associations between frequencies using cross-frequency coupling to reflect neural communications [25], [46]. Greethanjali et al [47] showed asymmetrical alpha connectivity in frontal regions according to personal preferences. If the participant listens to preferred Indian music, alpha connectivity in left frontal regions was lower as compared to right frontal regions.…”

Section: B Frontal Eeg Asymmetry Of Emotionmentioning

confidence: 99%

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Frontal EEG Asymmetry of Emotion for the Same Auditory Stimulus

2020

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Emotions play an important role in human interaction and decision-making processes. Frontal asymmetry in brain activity is a promising neurophysiological indicator of emotion. Emotions are psychologically explained by the valence-arousal model, but as yet, frontal asymmetry has not been fully explained by this model. In this study, we explored frontal asymmetry of emotions based on the valence-arousal model using the same auditory stimulus. Changes in emotional states using self-report questionnaires were investigated before and after the auditory stimulus. Spectral power and weighted phase lag index were calculated in the delta, theta, alpha, beta, and gamma bands. Phase-amplitude coupling was also measured to explore communication among different frequency bands associated with emotions. After the auditory stimulus, alpha power decreased in both left and right frontal regions and the deltaweighted phase lag index in the left-right regions was increased. However, no frontal asymmetry was identified after the auditory stimulus. Additionally, we explored the brain changes according to the valencearousal model based on emotional states. After the auditory stimulus, frontal asymmetry of alpha power was clearly observed only for negative valence. This finding was possible because subjective emotions were considered despite listening to the same stimulus. Finally, phase-amplitude coupling identified lefthemisphere dominance after the auditory stimulus, regardless of subjective emotions. These results may help us understand frontal asymmetry associated with emotional mechanisms. In addition, these findings can be used directly in the brain-computer interface to improve emotion recognition performance for realworld practical applications. INDEX TERMS Electroencephalogram (EEG), Emotion, Frontal asymmetry, Power spectral density (PSD), Weighted phase lag index (WPLI), Phase-amplitude coupling (PAC).

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Section: Discussionsupporting

confidence: 89%

Section: B Frontal Eeg Asymmetry Of Emotionmentioning

confidence: 99%

Frontal EEG Asymmetry of Emotion for the Same Auditory Stimulus

2020

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“…Also, in EEG, alpha power decreased in the left frontal regions when listening to positive music but decreased in the right frontal regions when listening to negative music, respectively (Balasubramanian et al, 2018). In other words, the asymmetry of alpha activity in the prefrontal and frontal regions changes with emotion (Geethanjali et al, 2018; Bo et al, 2019). However, there is still a lack of objective evidence to support subjective emotions associated with ASMR based on neuroimaging studies.…”

Section: Introductionmentioning

confidence: 99%

Possible Effect of Binaural Beat Combined With Autonomous Sensory Meridian Response for Inducing Sleep

Lee

Song

Shin

et al. 2019

Front. Hum. Neurosci.

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Sleep is important to maintain physical and cognitive functions in everyday life. However, the prevalence of sleep disorders is on the rise. One existing solution to this problem is to induce sleep using an auditory stimulus. When we listen to acoustic beats of two tones in each ear simultaneously, a binaural beat is generated which induces brain signals at a specific desired frequency. However, this auditory stimulus is uncomfortable for users to listen to induce sleep. To overcome this difficulty, we can exploit the feelings of calmness and relaxation that are induced by the perceptual phenomenon of autonomous sensory meridian response (ASMR). In this study, we proposed a novel auditory stimulus for inducing sleep. Specifically, we used a 6 Hz binaural beat corresponding to the center of the theta band (4–8 Hz), which is the frequency at which brain activity is entrained during non-rapid eye movement (NREM) in sleep stage 1. In addition, the “ASMR triggers” that cause ASMR were presented from natural sound as the sensory stimuli. In session 1, we combined two auditory stimuli (the 6 Hz binaural beat and ASMR triggers) at three-decibel ratios to find the optimal combination ratio. As a result, we determined that the combination of a 30:60 dB ratio of binaural beat to ASMR trigger is most effective for inducing theta power and psychological stability. In session 2, the effects of these combined stimuli (CS) were compared with an only binaural beat, only the ASMR trigger, or a sham condition. The combination stimulus retained the advantages of the binaural beat and resolved its shortcomings with the ASMR triggers, including psychological self-reports. Our findings indicate that the proposed auditory stimulus could induce the brain signals required for sleep, while simultaneously keeping the user in a psychologically comfortable state. This technology provides an important opportunity to develop a novel method for increasing the quality of sleep.

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“…In recent years, with the research on physiological signals in emotional computing, it has become possible to use physiological signals to evaluate automobile sound. EEG signals with high time and spatial resolution are widely used (Lin et al, 2010;Bhatti et al, 2016;Geethanjali et al, 2018).…”

Section: Related Workmentioning

confidence: 99%

Study of Auditory Brain Cognition Laws-Based Recognition Method of Automobile Sound Quality

Xie

Liu

et al. 2021

Front. Hum. Neurosci.

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The research shows that subjective feelings of people, such as emotions and fatigue, can be objectively reflected by electroencephalography (EEG) physiological signals Thus, an evaluation method based on EEG, which is used to explore auditory brain cognition laws, is introduced in this study. The brain cognition laws are summarized by analyzing the EEG power topographic map under the stimulation of three kinds of automobile sound, namely, quality of comfort, powerfulness, and acceleration. Then, the EEG features of the subjects are classified through a machine learning algorithm, by which the recognition of diversified automobile sound is realized. In addition, the Kalman smoothing and minimal redundancy maximal relevance (mRMR) algorithm is used to improve the recognition accuracy. The results show that there are differences in the neural characteristics of diversified automobile sound quality, with a positive correlation between EEG energy and sound intensity. Furthermore, by using the Kalman smoothing and mRMR algorithm, recognition accuracy is improved, and the amount of calculation is reduced. The novel idea and method to explore the cognitive laws of automobile sound quality from the field of brain-computer interface technology are provided in this study.

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Music-Induced Brain Functional Connectivity Using EEG Sensors: A Study on Indian Music

Cited by 39 publications

References 36 publications

Frontal EEG Asymmetry of Emotion for the Same Auditory Stimulus

Frontal EEG Asymmetry of Emotion for the Same Auditory Stimulus

Possible Effect of Binaural Beat Combined With Autonomous Sensory Meridian Response for Inducing Sleep

Study of Auditory Brain Cognition Laws-Based Recognition Method of Automobile Sound Quality

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